Terrain Classification Using Texture Analysis
暂无分享,去创建一个
This paper briefly summarizes some past work on texture analysis, including comparisons between different classes of features based on spatial statistics and Fourier analysis; recently developed refinements of the spatial statistics approach; methods based on the extraction and description of texture primitives; texture models based on random geometric processes; methods of improving texture classification by feature value smoothing; and methods of segmenting images into textured regions. References are given to reports and papers in which further details can be found.
[1] M.,et al. Statistical and Structural Approaches to Texture , 2022 .
[2] Patrick C. Chen,et al. Segmentation by texture using a co-occurrence matrix and a split-and-merge algorithm☆ , 1979 .
[3] Larry S. Davis,et al. Texture Analysis Using Generalized Co-Occurrence Matrices , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.